Omics Approaches and Technologies in COVID-19 discusses current and in development technologies used to fight the SARS-CoV-2 pandemic. Based on the research developed since the virus' outbreak, experts from around the world present perspectives on how recent technologies can help diagnose, treat and control. The book discusses topics such as genomics, meta-genomics, nutrigenomics, transcriptomics, proteomics, metabolomics, epigenomics, multi-omics and pan-genomics approaches, CRISPR, host-pathogen interactions, systems biology, artificial intelligence and machine learning applied to COVID-19, bioinformatics, mathematical modeling, and big data. In addition, it presents smart technologies to control SARS-CoV-2 transmission and technologies for the prediction of patients’ health conditions and treatment outcomes. This is a valuable resource for graduate students, researchers and members of the biomedical field who are interested in learning more about novel approaches and technologies used to tackle the COVID-19 pandemic.
Presents an overview of various omics-based strategies used in identifying the origin of SARS-CoV-2 Discusses omics approaches used in developing novel rapid diagnostics for COVID-19 Brings information on how omics technologies have minimized the time taken to develop potential drugs and vaccines Explains how applications of digital and smart technologies can be used to control the pandemic
-도서목차-
1. Omics approaches in COVID-19: an overview 2. Genomics, meta-genomics, and pan-genomics approaches in COVID-19 3. Genotype and phenotype correlations in COVID-19 4. Proteomic understanding of SARS-CoV-2 infection and COVID-19: biological, diagnostic, and therapeutic perspectives 5. Metabolites and Metabolomics in COVID-19 6. Host-pathogen Protein-Protein interactions and Interactomics in COVID-19 7. Currently available COVID-19 management options 8. Transcriptomic approaches in COVID-19: from infection to vaccines 9. miRNAomics in COVID-19 10. Epigenetic implementations in COVID-19 11. Nutrigenetics in COVID-19 12. COVID-19 Phenomics 13. Applications of genetic engineering in COVID-19. 14. CRISPR-based assays for rapid detection of SARS-CoV-2 15. Emergence and dynamics of COVID-19 and future pandemics 16. Artificial Intelligence in COVID-19 17. Applications of mathematical modeling and simulation in COVID-19 18. In silico disease modelling for COVID-19 19. Systems biology in COVID-19 20. Computational approaches in COVID-19 drug discovery 21. Computational approaches in COVID 19 vaccine development 22. Applications of multi-omics data in COVID-19 23. Publicly available resources in COVID-19 research and their applications 24. Emerging Technologies for COVID-19 Study, Diagnosis, and Treatment 25. Applications of digital and smart technologies to control SARS-CoV-2 transmission, rapid diagnosis, and monitoring 26. Application of Big Data Analytics in COVID-19 Pandemic. Selected Problems
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